International Webinar: Department of Mathematics
International Webinar: Department of Mathematics
Dear Faculty and Research Scholars,
Google meet link: https://meet.google.com/ezk-cgdy-cey
Date and Day: November 13, 2021 (Saturday)
Time: 5:00 PM
About the Speaker: Dr. Arjun Singh Yadaw is an applied mathematician by training. He did his Ph.D. from IIT Kanpur, India, in 2009. He did his first post-doctoral at the University of Lund, Sweden, and then he moved to Mount Sinai School of Medicine, USA, for the second post-doctoral study. He worked in machine learning and developed predictive models for heart and COVID patients. Presently, Dr. Yadaw is a senior data scientist at NIH and operating on patients’ electronic medical records data-based models. He is also an adjunct assistant professor at Mount Sinai School of Medicine.Title of the talk: Multi-Compartmental Ordinary Differential Equation Model of Neurite Outgrowth
Hope you are doing well. Department of Mathematics, BITS Pilani (Pilani Campus) is organizing an International Webinar on “Applications of Mathematics.”
The schedule is given below for your reference.Google meet link: https://meet.google.com/ezk-cgdy-cey
Date and Day: November 13, 2021 (Saturday)
Time: 5:00 PM
About the Speaker: Dr. Arjun Singh Yadaw is an applied mathematician by training. He did his Ph.D. from IIT Kanpur, India, in 2009. He did his first post-doctoral at the University of Lund, Sweden, and then he moved to Mount Sinai School of Medicine, USA, for the second post-doctoral study. He worked in machine learning and developed predictive models for heart and COVID patients. Presently, Dr. Yadaw is a senior data scientist at NIH and operating on patients’ electronic medical records data-based models. He is also an adjunct assistant professor at Mount Sinai School of Medicine.Title of the talk: Multi-Compartmental Ordinary Differential Equation Model of Neurite Outgrowth
Abstract of the Talk: The outgrowth of neurites is a complex whole cell level process by which a neuron starts to acquire the morphological and functional capability for information transmission over a long distance. Such a change in cellular state depends on the coordinated functioning of multiple sub-cellular processes at different levels. A major question is how these subcellular processes act in a coordinated manner to produce this whole cell response. To identify the sub cellular processes associated with neurite outgrowth, Neuro 2A cells were stimulated with the CB1 cannabinoid receptor agonist with HU210 for multiple time points (2h,4h,6h and 8h), followed by RNA-seq to identify HU2010 triggered differentially expressed genes. The up regulated genes were subjected to Gene Ontology enrichment analysis to predict up regulated sub cellular processes that they belong to. Among the inferred subcellular processes are vesicular transport, microtubule organization and elongation and membrane lipid metabolism. Based on these inferences, we built a dynamical multicompartment ODE model that integrates models of membrane production at the cell body, membrane delivery to the axonal tip via microtubule based vesicular transport and axonal microtubule growth. To find appropriate parameter set for a given growth velocity, we did analytical solution approach. We predicted that such a large-scale model should simulate neurite-outgrowth and CB1 receptor stimulation of the processes. We find that we are able to simulate neurite outgrowth using the subcellular processes identified from the mRNA-Seq experiments and incorporating changes in the levels of proteins encoded by upregulated genes leads to significant increases in the rate of neurite outgrowth. Details of the simulations will be presented.
Looking forward to your participation.
Warm Regards,
HoD, MATHS